TALK    [MERL Seminar Series 2023] Prof. Komei Sugiura presents talk titled The Confluence of Vision, Language, and Robotics

Date released: September 28, 2023


  •  TALK    [MERL Seminar Series 2023] Prof. Komei Sugiura presents talk titled The Confluence of Vision, Language, and Robotics
    (Learn more about the MERL Seminar Series.)
     
  • Date & Time:

    Thursday, September 28, 2023; 12:00 PM

  • Abstract:

    Recent advances in multimodal models that fuse vision and language are revolutionizing robotics. In this lecture, I will begin by introducing recent multimodal foundational models and their applications in robotics. The second topic of this talk will address our recent work on multimodal language processing in robotics. The shortage of home care workers has become a pressing societal issue, and the use of domestic service robots (DSRs) to assist individuals with disabilities is seen as a possible solution. I will present our work on DSRs that are capable of open-vocabulary mobile manipulation, referring expression comprehension and segmentation models for everyday objects, and future captioning methods for cooking videos and DSRs.


  • Speaker:

    Komei Sugiura
    Keio University

    Komei Sugiura is Professor at Keio University, Japan. He obtained a B.E. in electrical and electronic engineering, and an M.S. and a Ph.D. both in informatics from Kyoto University in 2002, 2004, and 2007, respectively. From 2006 to 2008, he was a research fellow at Japan Society for the Promotion of Science. From 2006 to 2009, he was also with ATR Spoken Language Communication Research Laboratories. From 2008 to 2020, he was Senior Researcher at National Institute of Information and Communications Technology, Japan, before joining Keio University in 2020. His research interests include multimodal language understanding, service robots, machine learning, spoken dialogue systems, cloud robotics, imitation learning, and recommender systems. He was an intern at MERL in 2005.

  • MERL Host:

    Chiori Hori

  • Research Areas:

    Artificial Intelligence, Machine Learning, Robotics, Speech & Audio